Controllable Accented Text-to-Speech Synthesis With Fine and Coarse-Grained Intensity Rendering
Accented text-to-speech (TTS) synthesis seeks to generate speech with an accent (L2) as a
variant of the standard version (L1), which is challenging as L2 is different from L1 in terms …
variant of the standard version (L1), which is challenging as L2 is different from L1 in terms …
Towards zero-shot multi-speaker multi-accent text-to-speech synthesis
This letter presents a framework towards multi-accent neural text-to-speech synthesis for
zero-shot multi-speaker, which employs an encoder-decoder architecture and an accent …
zero-shot multi-speaker, which employs an encoder-decoder architecture and an accent …
Convert and speak: Zero-shot accent conversion with minimum supervision
H Xue, X Peng, Y Lu - ACM Multimedia 2024, 2024 - openreview.net
Low resource of parallel data is the key challenge of accent conversion (AC) problem in
which both the pronunciation units and prosody pattern need to be converted. We propose a …
which both the pronunciation units and prosody pattern need to be converted. We propose a …
Convert and Speak: Zero-shot Accent Conversion with Minimum Supervision
Low resource of parallel data is the key challenge of accent conversion (AC) problem in
which both the pronunciation units and prosody pattern need to be converted. We propose a …
which both the pronunciation units and prosody pattern need to be converted. We propose a …
DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech
Recent advancements in Text-to-Speech (TTS) systems have enabled the generation of
natural and expressive speech from textual input. Accented TTS aims to enhance user …
natural and expressive speech from textual input. Accented TTS aims to enhance user …
[PDF][PDF] Neural Speech Synthesis for Austrian Dialects with Standard German Grapheme-to-Phoneme Conversion and Dialect Embeddings
L Gutscher, M Pucher, V Garcia - Proc. 2nd Annual Meeting of the …, 2023 - researchgate.net
For languages where extensive audio data and text transcriptions are available, text-to-
speech (TTS) systems have showcased the ability to generate speech that closely …
speech (TTS) systems have showcased the ability to generate speech that closely …
Improving Pronunciation and Accent Conversion through Knowledge Distillation And Synthetic Ground-Truth from Native TTS
Previous approaches on accent conversion (AC) mainly aimed at making non-native speech
sound more native while maintaining the original content and speaker identity. However …
sound more native while maintaining the original content and speaker identity. However …
Diffusion-Based Method with TTS Guidance for Foreign Accent Conversion
Accent conversion (AC) aims to alter the accent of spoken language while preserving the
original content and speaker characteristics. While any accent can be selected as a target …
original content and speaker characteristics. While any accent can be selected as a target …
Non-autoregressive real-time Accent Conversion model with voice cloning
V Nechaev, S Kosyakov - arXiv preprint arXiv:2405.13162, 2024 - arxiv.org
Currently, the development of Foreign Accent Conversion (FAC) models utilizes deep neural
network architectures, as well as ensembles of neural networks for speech recognition and …
network architectures, as well as ensembles of neural networks for speech recognition and …
Transfer the linguistic representations from TTS to accent conversion with non-parallel data
Accent conversion aims to convert the accent of a source speech to a target accent,
meanwhile preserving the speaker's identity. This paper introduces a novel non …
meanwhile preserving the speaker's identity. This paper introduces a novel non …